Triple
T25496611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pipiolos |
E638987
|
entity |
| Predicate | ideologicalOpposition |
P108346
|
FINISHED |
| Object | conservatism of Pelucones |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: conservatism of Pelucones | Statement: [Pipiolos, ideologicalOpposition, conservatism of Pelucones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ideologicalOpposition Context triple: [Pipiolos, ideologicalOpposition, conservatism of Pelucones]
-
A.
opposingIdeology
Indicates that two entities hold conflicting or mutually incompatible belief systems, doctrines, or ideological positions.
-
B.
opposingFactionIdeology
chosen
Indicates that two factions hold ideologies that are in direct conflict or fundamental opposition to each other.
-
C.
hasIdeologicalConflict
Indicates a relationship where two entities hold opposing or incompatible ideologies that put them in conflict with each other.
-
D.
hasOpposedIdea
Indicates that one entity holds an idea that conflicts with, contradicts, or stands in opposition to the idea held by another entity.
-
E.
ideologicalEmphasis
Indicates a relationship where an entity places particular focus or priority on a specific ideology or set of ideological principles.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f7aa25ec819090283c57459555dd |
completed | May 2, 2026, 1:10 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 2:40 p.m.